Department
BSD MED - Infectious Diseases - Chicago Center HIV Elimination - Data Analysts
About the Department
The University of Chicago's position on the South Side makes it uniquely situated to test, treat, and prevent new HIV infections in a highly affected population. The South Side communities and majority Black suburbs connected to them to the South represents the largest contiguous Black population in the United States. By using our integrated HIV transmission elimination approaches, we are beginning to make new infections in these communities less frequent.
Job Summary
Responsibilities
Oversees the general maintenance of the Center’s data collection tools (i.e. Apricot, REDCap), as well as develop any needed new workflows and/or projects within these systems, respectively.
Provides recommendations for best practices in the design of data collection tools and data management systems to improve data quality.
Responsible for data management aspects of research studies and service programs.
Responsible for generating documentation for projects, e.g. procedural manuals, protocol worksheets, codebooks, questionnaires, progress reports, addendums, and/or adverse event reports.
Performs quality assurance (QA) audits conducted by study sponsors, federal agencies, or specially designated review groups, as well as QA summary reports for staff (internally) and stakeholders (externally) as affiliated to site in a timely, accurate manner.
Prepares analytic datasets for research recruitment, analyses, and data abstractions and provides preliminary descriptive statistics.
Oversees the execution of data usage agreements (DUA) and/or data management plans (DMP) to share data with internal and external partners/institutions.
Standardize processes for data abstraction via Release of Information agreements (ROIs) that support service projects and research studies for the Center.
Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, management, programming, and analysis, and trains new staff on data management protocols.
Produce quantitative or qualitative analytic products for research projects.
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.
Guides staff or faculty members in defining the project and applies principals of data science in manipulation, statistical applications, programming, analysis and modeling.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Certifications:
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Preferred Qualifications
Experience:
Experience with manipulation of large databases and consolidation and synthesis of data from multiple sources.
Experience maintaining and documenting source code for reproducibility of research and service projects.
Proficiency with one or more statistical analysis software packages, such as SAS, Stata, or R for data management and statistical analysis and understanding of version control software (e.g. Git).
Familiarity with one or more of the following areas, including HIV/STI prevention research, study design, public health surveillance, and/or clinical and epidemiologic research methods.
Experience working on health, service, and/or social science programs.
Technical Skills or Knowledge:
Proficiency in Microsoft Applications, including but not limited to Outlook, Excel, Access and Word.
Preferred Competencies
Ability to collaborate with colleagues from diverse academic and professional backgrounds.
Ability to independently apply critical thinking, flexibility, creativity, and problem-solving skills to data related questions as they arise.
Strong interpersonal skills and the ability to work both independently and as part of a team.
Demonstrated written and verbal communication skills, including ability to communicate data management processes to faculty and staff audience.
Meticulous attention to detail and excellent organizational skills.
Ability to work on multiple projects simultaneously, set priorities, and meet deadlines.
Application Documents
Resume/CV (required)
Cover Letter (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
Pay Range
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
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